
\begin{table}
\begin{center}
\begin{tabular}{l D{)}{)}{9)0} D{)}{)}{9)2} D{)}{)}{8)3} D{)}{)}{9)0} D{)}{)}{9)3}}
\toprule
 & \multicolumn{1}{c}{Care} & \multicolumn{1}{c}{Fairness} & \multicolumn{1}{c}{Loyalty} & \multicolumn{1}{c}{Authority} & \multicolumn{1}{c}{Sanctity} \\
\midrule
GAL-TAN (CHES)           & -0.04 \; (0.11) & -0.27 \; (0.09)^{**} & 0.13 \; (0.10)       & 0.19 \; (0.11)  & 0.39 \; (0.09)^{***}  \\
Year                     & 0.21 \; (0.11)  & 0.18 \; (0.09)^{*}   & 0.02 \; (0.11)       & -0.15 \; (0.11) & -0.35 \; (0.09)^{***} \\
Government Participation & -0.13 \; (0.25) & -0.24 \; (0.18)      & 0.88 \; (0.22)^{***} & 0.15 \; (0.24)  & -0.25 \; (0.20)       \\
\midrule
AIC                      & 243.12          & 202.01               & 228.33               & 239.21          & 211.28                \\
BIC                      & 257.49          & 216.38               & 242.70               & 253.58          & 225.65                \\
Log Likelihood           & -115.56         & -95.01               & -108.17              & -113.61         & -99.64                \\
Num. manifestos          & 81              & 81                   & 81                   & 81              & 81                    \\
Num. groups: countries   & 7               & 7                    & 7                    & 7               & 7                     \\
Var: Country (Intercept) & 0.06            & 0.32                 & 0.16                 & 0.16            & 0.19                  \\
Var: Residual            & 0.93            & 0.49                 & 0.73                 & 0.85            & 0.57                  \\
\bottomrule
\multicolumn{6}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Regression table for all English-translated manifestos, scored with MoralBERT for the dimension Virtue.}
\label{tab:app_reg_trans_moralbert_virtue}
\end{center}
\end{table}
